⚡️ Speed up function process_description by 6%#44
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codeflash-ai[bot] wants to merge 1 commit intomainfrom
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⚡️ Speed up function process_description by 6%#44codeflash-ai[bot] wants to merge 1 commit intomainfrom
process_description by 6%#44codeflash-ai[bot] wants to merge 1 commit intomainfrom
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The optimized code achieves a 5% speedup through strategic regex pattern pre-compilation and loop optimization: **Key Optimizations:** 1. **Pre-compiled Regex Patterns**: All regex patterns are now compiled once at module load time instead of being recompiled on every function call. The most impactful change is the global `_file_walkthrough_pattern` that's compiled only once and reused, eliminating the expensive `re.split()` with `re.DOTALL` flag compilation overhead. 2. **Efficient Pattern Matching Loop**: Instead of trying multiple regex patterns sequentially with separate `re.search()` calls, the code now loops through pre-compiled patterns in `_fallback_patterns` and breaks on the first match. This reduces regex execution time, especially when the first pattern matches. 3. **Reduced Regex Compilation Overhead**: The line profiler shows the original code spent significant time in `re.split()` (5% of total time) and multiple `re.search()` calls (13.7% + 7.8% + 8.1% = 29.6% combined). The optimized version reduces this by eliminating repeated pattern compilation. **Performance Characteristics:** - **Best for large-scale cases**: The optimizations show the most improvement on test cases with many files (10-15% faster) where regex compilation overhead compounds - **Consistent gains**: Even simple cases show 1-3% improvements due to reduced setup overhead - **Memory efficient**: Pre-compiled patterns are shared across all function calls rather than recreated each time The optimizations preserve all original functionality while eliminating redundant regex compilation work that becomes more expensive as the input size grows.
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📄 6% (0.06x) speedup for
process_descriptioninpr_agent/algo/utils.py⏱️ Runtime :
4.16 milliseconds→3.94 milliseconds(best of582runs)📝 Explanation and details
The optimized code achieves a 5% speedup through strategic regex pattern pre-compilation and loop optimization:
Key Optimizations:
Pre-compiled Regex Patterns: All regex patterns are now compiled once at module load time instead of being recompiled on every function call. The most impactful change is the global
_file_walkthrough_patternthat's compiled only once and reused, eliminating the expensivere.split()withre.DOTALLflag compilation overhead.Efficient Pattern Matching Loop: Instead of trying multiple regex patterns sequentially with separate
re.search()calls, the code now loops through pre-compiled patterns in_fallback_patternsand breaks on the first match. This reduces regex execution time, especially when the first pattern matches.Reduced Regex Compilation Overhead: The line profiler shows the original code spent significant time in
re.split()(5% of total time) and multiplere.search()calls (13.7% + 7.8% + 8.1% = 29.6% combined). The optimized version reduces this by eliminating repeated pattern compilation.Performance Characteristics:
The optimizations preserve all original functionality while eliminating redundant regex compilation work that becomes more expensive as the input size grows.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
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git checkout codeflash/optimize-process_description-mgzg90auand push.